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Investigation into the accuracy and measurement methods of sequential 3D dental scan alignment

机译:研究顺序3D牙齿扫描对准的准确性和测量方法

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摘要

Objectives. Alignment procedures have yet to be standardised and may influence the measurement outcome. This investigation assessed the accuracy of commonly used alignment techniques and their impact on measurement metrics.Methods. Datasets of 10 natural molar teeth were created with a structured-light model-scanner (Rexcan DS2, Europac 3D, Crewe). A 300 mu m depth layer was then digitally removed from the occlusal surface creating a defect of known size. The datasets were duplicated, randomly repositioned and re-alignment attempted using a "best-fit" alignment, landmark-based alignment or reference alignment in Geomagic Control (3D Systems, Darmstadt, Germany). The re-alignment accuracy was mathematically assessed using the mean angular and translation differences between the original alignment and the re-aligned datasets. The effect of the re-alignment on conventional measurement metrics was calculated by analysing differences between the known defect size and defect size after re-alignment. Data were analysed in SPSS v24(ANOVA, post hoc Games Howell test, p 0.05).Results. The mean translation error (SD) was 139 mu m (42) using landmark alignment, 130 mu m (26) for best-fit and 22 mu m (9) for reference alignment (p 0.001). The mean angular error (SD) between the datasets was 2.52 (1.18) degrees for landmark alignment, 0.56 (0.38) degrees for best-fit alignment and 0.26 (0.12) degrees for reference alignment (p 0.001). Using a reference alignment statistically reduced the mean profilometric change, volume change and percentage of surface change errors (p 0.001).Significance. Reference alignment produced significantly lower alignment errors and truer measurements. Best-fit and landmark-based alignment algorithms significantly underestimated the size of the defect. Challenges remain in identifying reference surfaces in a robust, clinically relevant method. Crown Copyright (C) 2019 Published by Elsevier Inc. on behalf of The Academy of Dental Materials. All rights reserved.
机译:目标。对准程序尚未标准化,可能会影响测量结果。这项研究评估了常用对准技术的准确性及其对测量指标的影响。使用结构化光模型扫描仪(Rexcan DS2,Europac 3D,Crewe)创建了10个天然磨牙的数据集。然后从咬合面以数字方式去除300微米深的层,形成已知大小的缺损。在Geomagic Control(3D Systems,达姆施塔特,德国)中使用“最佳拟合”对齐,基于界标的对齐或参考对齐,对数据集进行复制,随机重新定位并尝试重新对齐。重新对齐的准确性是使用原始对齐和重新对齐的数据集之间的平均角度和平移差异进行数学评估的。通过分析已知缺陷大小和重新对齐后的缺陷大小之间的差异,可以计算出重新对齐对常规测量指标的影响。在SPSS v24中分析数据(方差分析,事后游戏Howell检验,p <0.05)。使用界标对齐方式的平均平移误差(SD)为139微米(42),最佳拟合为130微米(26),参考对齐为22微米(9)(p <0.001)。数据集之间的平均角误差(SD)对于界标对齐为2.52(1.18)度,对于最佳拟合对齐为0.56(0.38)度,对于参考对齐为0.26(0.12)度(p <0.001)。使用参考比对在统计上减少了平均轮廓图变化,体积变化和表面变化误差的百分比(p <0.001)。参考对准产生的对准误差显着降低,测量结果更真实。最佳拟合和基于界标的对齐算法大大低估了缺陷的大小。在以可靠,临床相关的方法识别参考表面方面仍然存在挑战。 Crown版权(C)2019由Elsevier Inc.代表牙科材料学院出版。版权所有。

著录项

  • 来源
    《Dental materials》 |2019年第3期|495-500|共6页
  • 作者单位

    Kings Coll London, Dent Inst, Dept Prosthodont, Guys Hosp, Floor 25,Tower Wing, London SE1 9RT, England;

    Univ Siena, Dept Med Technol, Siena, Italy|Leeds Sch Dent, Dept Restorat Dent, Clarendon Way, Leeds LS2 9LU, W Yorkshire, England;

    Kings Coll London, Dent Inst, Fac Dent Oral & Craniofacial Sci, Ctr Clin Oral & Translat Sci,Guys Hosp, Tower Wing, London SE1 9RT, England;

    Leeds Sch Dent, Dept Restorat Dent, Clarendon Way, Leeds LS2 9LU, W Yorkshire, England;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Tooth wear; Tooth erosion; Diagnostic imaging; Dental technology;

    机译:牙齿磨损;牙齿侵蚀;诊断成像;牙科技术;
  • 入库时间 2022-08-18 04:13:12

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